Thank you, Douglas!

Is there a way to mask my functional ROI with these binarized aparc ROIs?

I guess what I want to do is:  ROIfunctional *
ROI_precentral_binarized > masked ROIfunctional limted to precentral
region

best regards,
Bastian.

On 28 July 2014 18:25, Douglas N Greve <gr...@nmr.mgh.harvard.edu> wrote:
>
> Try using mri_binarize on the aparc+aseg.mgz volume (aparc+aseg has the
> same ROIs as aparc but in volume format). You can map this into your
> functional space.
> doug
>
> On 07/25/2014 06:29 AM, Bastian Cheng wrote:
>> Dear Freesurfers,
>>
>> Is there a way to mask a custom ROI (or label) with a volume / label
>> from automated parcellations?
>>
>> I have an overlay with fMRI activations and am only interested in the
>> precentral cortex (as segmented in rh.aparc).
>>
>> I could do masking either on the label level (fMRI activation label *
>> rh.precentral.label)
>> OR on a volume level (fMRI ROI volume * rh.precentral volume)
>>
>> ultimately, I would only be interested in surface thickness of my fMRI
>> hotspots limited to the precentral cortex.
>>
>> So the most elegant way would be if there were a function in
>> mri_segstats that allows outputs of thickness values to be "sorted" by
>> the automated parcellation.
>>
>> But any help leading there is appreciated!
>>
>> Best,
>> Bastian
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>>
>>
>
> --
> Douglas N. Greve, Ph.D.
> MGH-NMR Center
> gr...@nmr.mgh.harvard.edu
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